Codetown
Codetown ::: a software developer's community
Bradlee Sargent's Groups (9)
.Net Town
18 members Latest Activity: Apr 13, 2020 What's up with .Net in your neck of the woods? We'll discuss all the basics here. Eventually, we'l break out separate groups for C#, etc...
Community Corral
23 members Latest Activity: Aug 23, 2012 Are you interested in social networks? We're talking about virtual communities here. Community builders use tools and techniques. We'll discuss them…
Wikipedia Place
9 members Latest Activity: Oct 27, 2011 We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who…
Cloud Computing Village
16 members Latest Activity: Aug 21, 2015 Cloud Computing is "the next big thing". The recent JavaOne featured Cloud Computing more than any other technology. Come join us and explore /…
Startup City
24 members Latest Activity: Jun 10, 2016 Have you got a great idea you'd like to put into action? This is the place for you! We'll talk about ideas and how to turn them into businesses here.
Democratic Republic of Congo (RDC) JUG Town
8 members Latest Activity: Jun 5, 2014
Come join us here at the RDC JUG Town! Stanislas Matayo and the group in Kinshasa welcome you.
Computational Linguistics Village
15 members Latest Activity: May 6, 2018 Ever wonder how Google Translate works? It's computational linguistics! Join us here and learn all about it and more. Jim White will be our guide.…
Android Town
35 members Latest Activity: Jul 20, 2019 Android is an open Java-based platform to use for developing mobile apps. Do you believe mobile computing is the wave of the future? We do!
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
AWS Introduces Fifth-Generation Graviton Processor with M9g Instances
AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the general-purpose M9g instances. According to the cloud provider, the latest chip delivers up to 25% higher performance than Graviton4, introduces the Nitro Isolation Engine, and provides a larger L3 cache, improving latency, memory bandwidth, and network throughput.
By Renato LosioMicrosoft Research Develops Novel Approaches to Enforce Privacy in AI Models
A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.
By Sergio De SimoneSwiggy Rolls Out Hermes V3: From Text-to-SQL to Conversational AI
Swiggy has released Hermes V3, a GenAI-powered text-to-SQL assistant that enables employees to query data in plain English. The Slack-native system combines vector retrieval, conversational memory, agentic orchestration, and explainability to improve SQL accuracy and support multi-turn analytical queries.
By Leela KumiliAmazon S3 Vectors Reaches GA, Introducing "Storage-First" Architecture for RAG
AWS has announced the general availability of Amazon S3 Vectors, increasing per-index capacity forty-fold to 2 billion vectors. By natively integrating vector search into the S3 storage engine, the service introduces a "Storage-First" architecture that decouples compute from storage, reducing total cost of ownership by up to 90% for large-scale RAG workloads.
By Steef-Jan WiggersPresentation: From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix
Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.
By Sujana Sooreddy, Naveen Mareddy
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